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The paper aims at localization of the anchor node (xed node) by pursuit nodes (movable node) in outdoor location. Two methods are studied for node localization. The rst method is based on LNSM (Log Normal Shadowing Model) technique to localize the anchor node and the second method is based on Hy- brid TLBO (Teacher Learning Based Optimization Algorithm)- Unilateral technique. In the rst approach the ZigBee protocol has been used to localize the node, which uses RSSI (Received Signal Strength Indicator) values in dBm. LNSM technique is implemented in the self-designed hardware node and localization is studied for Outdoor location. The statistical analysis using RMSE (root mean square error) for outdoor location is done and distance error found to be 35 mtrs. The same outdoor location has been used and statistical analysis is done for localization of nodes using Hybrid TLBO-Unilateral technique. The Hybrid- TLBO Unilateral technique signicantly localizes anchor node with distance error of 0.7 mtrs. The RSSI values obtained are normally distributed and standard deviation in RSSI value is observed as 1.01 for outdoor location. The node becomes 100% discoverable after using hybrid TLBO- Unilateral technique.

Wireless Sensor Node Localization based on LNSM and Hybrid TLBO- Unilateral technique for Outdoor Location